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38 lines
1.5 KiB
Rust
38 lines
1.5 KiB
Rust
use std::path::PathBuf;
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use crate::ModelClient;
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use crate::error::Result;
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pub use codex_memories::memory_trace::BuiltMemory;
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use codex_otel::SessionTelemetry;
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use codex_protocol::openai_models::ModelInfo;
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use codex_protocol::openai_models::ReasoningEffort as ReasoningEffortConfig;
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/// Loads raw trace files, normalizes items, and builds memory summaries.
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///
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/// The request/response wiring mirrors the memory summarize E2E flow:
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/// `/v1/memories/trace_summarize` with one output object per input raw memory.
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///
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/// The caller provides the model selection, reasoning effort, and telemetry context explicitly so
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/// the session-scoped [`ModelClient`] can be reused across turns.
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pub async fn build_memories_from_trace_files(
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client: &ModelClient,
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trace_paths: &[PathBuf],
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model_info: &ModelInfo,
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effort: Option<ReasoningEffortConfig>,
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session_telemetry: &SessionTelemetry,
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) -> Result<Vec<BuiltMemory>> {
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if trace_paths.is_empty() {
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return Ok(Vec::new());
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}
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let prepared = codex_memories::memory_trace::load_trace_requests(trace_paths)
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.await
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.map_err(|err| crate::error::CodexErr::InvalidRequest(err.to_string()))?;
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let raw_memories = prepared.iter().map(|trace| trace.payload.clone()).collect();
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let output = client
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.summarize_memories(raw_memories, model_info, effort, session_telemetry)
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.await?;
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codex_memories::memory_trace::build_memories_from_output(prepared, output)
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.map_err(|err| crate::error::CodexErr::InvalidRequest(err.to_string()))
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}
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